Taking notes in a meeting can be a daunting task, especially if there is ample information being provided by the presenter. It is common to miss important points or misunderstand something that has been discussed. Fortunately, with technological advances, artificial intelligence tools can assist us in note-taking during meetings. These tools can help in identifying and summarizing key points, leaving us with a comprehensive record of the meeting without the need to frantically jot down every detail. Let's look at some of the most popular note-taking tools out there.

Knowledge and accuracy: LaMDA can access the internet for the latest information, while both GPT-3 and even GPT-4 have knowledge cut-off dates of September 2021. If asked about more up-to-date events, these models could generate fictional responses. Training data: LaMDA's training dataset comprised primarily of dialog, while GPT-3 used everything from Wikipedia entries to traditional books. That makes GPT-3 more general-purpose and adaptable for applications like ChatGPT. Human training: In the previous section, we talked about how Google hired human workers to fine-tune its model for safety and quality.

OpenAI CEO confirms ChatGPT not training GPT-5, addresses safety concerns raised by open letter from tech community, Italy establishes task force on ChatGPT. OpenAI, a leading AI research organisation, has developed the ChatGPT programme, which has become immensely popular for its ability to provide quick and comprehensive answers to a wide range of queries. However, its fast expansion has sparked worries regarding its potential effects on employment, privacy, and safety. Recently, an open letter signed by tech giants Elon Musk, Steve Wozniak, and others urged companies to pause the development of AI systems that are more powerful than GPT-4, which was released by OpenAI. The open letter signed by Elon Musk and other researchers called for a halt in the development of AI systems that are more powerful than GPT-4, citing concerns about potential impacts on safety, privacy, and employment.

AI in Manufacturing to surpass USD 42.5 billion by 2031 from USD 1.7 billion in 2021 at a CAGR of 37.6% in the coming years, i.e., 2021-31. Artificial Intelligence technology is widely being adopted in manufacturing industries to analyze complex sets of data, changes in consumer behavior, and demand for detecting anomalies and improving supply chains and distribution networks. Further, AI can improve decision making by using advanced software to gain more insights and visibility in the operation process, which is driving the market growth of AI in Manufacturing. Based on Offering, the AI in Manufacturing Market is divided into Hardware, Software, and Services, of which the Software segment is expected to lead. Specific programs can be run by software alone without the need for additional hardware.

Google is working on search changes to counter artificial intelligence (AI) rivals that pose a threat to the company's search engine, The New York Times reported. The Times reported that Samsung was considering using Microsoft's Bing instead of Google as its default search engine on its devices. This news comes after Microsoft announced plans to incorporate AI tools into its Bing search engine following Google's announcement of its own plans to launch AI-powered features in its search tools. The Times reviewed internal messages from Google employees, who reportedly responded with "panic" to the threat of Samsung pulling the Google engine. According to internal documents reviews by The Times, Google is updated its existing search engine with more features in a project called Magi.

Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data. In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI. We contend that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google's PaLM for example) that exhibit more general intelligence than previous AI models. We discuss the rising capabilities and implications of these models.

"I've always thought of AI [artificial intelligence] as the most profound technology humanity is working on. More profound than fire or electricity or anything that we've done in the past," said Sundar Pichai, the CEO of Google and its parent company Alphabet. The 50-year-old Pichai gave 60 Minutes correspondent Scott Pelley rare access to the inner workings of Google's AI development, which includes robots that have acquired skills through machine learning and Project Starline, an AI video conferencing experience Google is developing to allow people to feel as though they are together, despite being in different locations. Perhaps Google's most anticipated and noteworthy foray into AI is its chatbot, Bard. The company presently calls it an experiment, in part to do more internal testing.

TESSCO, announced that the Company has entered into a definitive merger agreement with entities affiliated with Lee Equity Partners and Twin Point Capital, which also own Alliance Corporation, a value-added distributor of equipment for the wireless industry, and GetWireless, LLC (GetWireless), a value-added distributor of cellular solutions that connect the Internet of Things (IoT). Under the terms of the merger agreement, all outstanding shares of Company common stock will be acquired for $9.00 in cash, resulting in a Company enterprise value of approximately $161.4 million. The merger, which has been unanimously approved by Tessco's board of directors, reflects a premium of approximately 91% to the closing price of the last trading day prior to the date of this announcement and a premium of approximately 97% to Tessco's 30-day volume-weighted average stock price as of April 11, 2023. The merger is expected to close in the third calendar quarter of 2023, subject to the approval of Tessco's shareholders and the satisfaction of customary closing conditions. Following the closing of the transaction, Tessco will maintain its facilities in Hunt Valley and Timonium, Maryland and in Reno, Nevada, as well as broaden its facility footprint, product offering, and value-added capabilities by partnering with Alliance and GetWireless to create a leading value-added telecommunications distributor in North America. AceChatThe World's First Video Based AI Study Bot for STEM "This deal is a win for Tessco shareholders and our customers," said Sandip Mukerjee, Tessco's President and Chief Executive Officer.

ASCO Power Technologies is offering an immersive experience of its industry-leading power source management solutions. Visitors can learn more about critical power and connect with ASCO Power experts. Power availability enables facilities and organizations to mitigate interruptions, provide service, and maintain operations. With the rise of outages and demand for sustainability, critical power solutions can help facilities meet objectives. ASCO Power Technologies is demonstrating its current line of source management products, along with new releases such as the Schneider Electric TransferPacT at the Hannover Messe 2023, Hall 11, C46, April 17–21, 2023.

Update Apr 12, 2023: We have released Dolly 2.0, licensed for both research and commercial use. See the new blog post here. We show that anyone can take a dated off-the-shelf open source large language model (LLM) and give it magical ChatGPT-like instruction following ability by training it in 30 minutes on one machine, using high-quality training data. Surprisingly, instruction-following does not seem to require the latest or largest models: our model is only 6 billion parameters, compared to 175 billion for GPT-3. We open source the code for our model (Dolly) and show how it can be re-created on Databricks.